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Published June 8, 2023 | Version v1

Original data for "Unsupervised Analysis of Optical Imaging Data for the Discovery of Reactivity Patterns in Metal Alloy" article

Authors/Creators

  • 1. Université Paris Cité, ITODYS, CNRS, 75013 Paris, France

Description

This upload includes both original and supplementary data for the publication "Unsupervised Analysis of Optical Imaging Data for the Discovery of Reactivity Patterns in Metal Alloy" by R. Li, A. Makogon, T. Galochkina, J-F. Lemineur, F. Kanoufi, and V. Shkirskiy, published in the Small Methods journal. The preprint version of the paper is available on ChemRxiv (https://doi.org/10.26434/chemrxiv-2023-sgvt0).

The file "Data_processing.zip" contains the original optical image of the interface, maps of film evolution rates in acidic and salt environments, COMSOL data output in acidic and salt environments, as well as a Jupyter Lab file that demonstrates how to process this data.

The file "Comparison_of_SEM_images.zip" includes the original SEM images used in the current study and in our previous work (https://doi.org/10.26434/chemrxiv-2022-rn77b-v3), along with a Jupyter Lab file that illustrates the data processing procedure.

We recommend opening the Jupyter Lab files in a Python 3 environment. PDF files in the root directory provide outputs of all uploaded Jupyter Lab files.

Files

Comparison_of_SEM_images.zip

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Additional details

Funding

Agence Nationale de la Recherche
OCTAWA - Correlative imaging of crosstalk between single entities in metal alloys ANR-22-CE29-0010